Loading…
OE Global 2023 has ended
Building a Sustainable World through Open Education
Monday, October 16 • 3:30pm - 3:45pm
Learning Analytics of Online Courses to Enhance the Quality of Teaching - Example in Taipei Medical University

Log in to save this to your schedule, view media, leave feedback and see who's attending!

The rise of online learning methods in recent years has brought about numerous benefits such as flexibility in time and space, enabling users to choose their learning style and schedule. However, the impact of this flexibility on student learning outcomes is still unclear. This study aims to examine the impacts of online learning methods on learning effectiveness.

Using behavioral data from the university learning management system, the study focused on active learners and controlled for variables such as the number of views, viewing time, and final grades. Three types of data analysis were performed to explore learning outcomes of viewing time distribution and the relationship between the final grades of groups.

The analysis process starts by grouping the subjects into four groups based on the number of views and viewing time, namely "more quantity and more meals" for those with more views and viewing time, "less quantity and fewer meals" for those with fewer views and viewing time, "less quantity and more meals" for those with more views but less viewing time, and "more quantity and fewer meals" for those with fewer views but more viewing time. Data collection is then carried out through the digital learning platform, and a progress management system for analysis projects is established. The study then compares the scores and grades of the four groups of users after class to examine the impact of the flexibility of use. In the end, the study conducts a comprehensive analysis of the correlation between user habits, such as: online browsing times, online browsing time length, online browsing time periods, and other variables. After producing the analysis results, a database of analysis results is built to facilitate student population comparison and differential analysis.

The study uses JASP, an open-source statistical software to conduct correlation analysis, regression analysis, and visualize the analysis results. Based on the expected results, the study hypothesizes that flexible users would gain more scores with learning online courses as they have greater control over the speed of learning. It remains to be seen whether the degree of flexibility of viewing will impact the teaching.

Keywords: digital learning platform, online browsing times, online browsing time length, online browsing time periods, correlation analysis, regression analysis

Session outcomes and takeaways: This session shows a study that focuses on examining the effectiveness of learning behaviors. The study uses variables such as the number of views, viewing time, and final grades to analyze the learning behaviors and effectiveness. Three types of data analysis are presented. The examples shown in this session provide insights into the learning analytics method on student learning outcomes. Participants may use the same method to analyze data from their own online learning platforms and compare their learning outcomes.

Presentation Video

Presenters
avatar for Hsu-Tien Wan

Hsu-Tien Wan

Deputy CIO, Taipei Medical University
Hsu-Tien Wan, easily remembered as Marian Wan, is the Deputy CIO at Taipei Medical University (TMU, www.tmu.edu.tw), Taiwan. During the past 20 years, as a key member in the IT Office, she has promoted e-learning and managed various ICT platforms. In 2006, Marian began to introduce... Read More →
YH

Ya-Chuan Huang

Center for Multi-Metaverse Media, Office of Information Technology, Taipei Medical University



Monday October 16, 2023 3:30pm - 3:45pm MDT
Poplar (S13/14) Edmonton Convention Centre